archify
Skill7 starsChanged 5 months agoMITView on GitHub
JSON 驱动架构图生成器——5 种图类型(架构图·工作流·时序图·数据流·生命周期), 深色/浅色主题切换,一键导出 PNG/JPEG/WebP/双主题 SVG。Schema 校验 + 布局自动检测(重叠/碰撞/越界)。支持自然语言描述或粘贴 Mermaid 代码 自动转为 archify 风格。基于 Cocoon-AI 演进版,工程化程度最高。 Trigger keywords: 架构图, 工作流图, 时序图, 数据流图, 生命周期图, workflow diagram, sequence diagram, dataflow, lifecycle diagram, architecture diagram, archify, 状态机图, 管道图, ETL图, Mermaid转图, 双主题图, JSON驱动图, 自动布局图.
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- jgeofil/agent-skillstheir own version, first seen Nov 8, 2026
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- ClaireAll/skillstheir own version, first seen Nov 5, 2026
- EduMMorenolp/Config-Skill-Agenttheir own version, first seen Nov 1, 2026
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Rajveerx11Skillarchify-review
Review Archify issues, PRs, or code through value, cost, and impact to support evidence-based maintenance decisions. Use for issue triage, change reviews, and code quality assessments.
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OpenAISkillhyperframes
Create video compositions, animations, title cards, overlays, captions, voiceovers, audio-reactive visuals, and scene transitions in HyperFrames HTML. Use when asked to build any HTML-based video content, add captions or subtitles synced to audio, generate text-to-speech narration, create audio-reactive animation (beat sync, glow, pulse driven by music), add animated text highlighting (marker sweeps, hand-drawn circles, burst lines, scribble, sketchout), or add transitions between scenes (crossfades, wipes, reveals, shader transitions). Covers composition authoring, timing, media, and the full video production workflow. For CLI commands (init, lint, preview, render, transcribe, tts) see the hyperframes-cli skill.
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Use when starting any conversation - establishes how to find and use skills, requiring skill invocation before ANY response including clarifying questions
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CloudflareSkillreceiving-code-review
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
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Archify — JSON 驱动架构图生成器
5 种图类型 × Schema 校验 × 双主题切换 × Mermaid 兼容。工程化程度最高的图工具。 上游来源: tt-a1i/archify (MIT v2.12),基于 Cocoon-AI 演进
在 Dog-Skills 图技能矩阵中的位置
architecture-diagram → 系统架构(Quick/Deep双模式,HTML+SVG,深色主题)
fireworks-tech-graph → 多风格技术图(8风格14类型,SVG+PNG)
excalidraw-diagram → 手绘协作图(.excalidraw可编辑)
text-logic-diagram → 论述逻辑图(递进/流程/循环/层次/对比/矩阵)
archify ⭐ → 工程化架构图(5类型×JSON Schema×自动校验×Mermaid输入)
↑ 独有: workflow/sequence/dataflow/lifecycle 四种工程图类型什么时候用 archify 而不是其他图技能?
- 需要画工作流/时序图/数据流/生命周期图 → archify 是唯一支持这些类型的
- 需要 Schema 保证不出错 → archify 的 JSON Schema + 自动布局校验
- 有 Mermaid 代码想"美化" → archify 读 Mermaid 结构,按自己风格重绘
- 需要导出一个在明暗背景下都好看的 SVG → archify 独有的双主题 SVG
5 种图类型
| 类型 | 用途 | 触发关键词 |
architecture | 系统组件、云资源、服务、安全边界、基础设施 | "架构图" / "系统图" / "云架构" |
workflow | 技术流程、审批流、CI/CD、Runbook、事件响应 | "工作流" / "流程图" / "审批流" / "CI/CD" |
sequence | API 调用链、请求生命周期、缓存回退、异步追踪 | "时序图" / "调用链" / "交互流程" |
dataflow | 数据管道、ETL/ELT、PII 隔离、数据血缘 | "数据流" / "ETL" / "数据管道" / "数据血缘" |
lifecycle | 状态机、状态转换、重试、终止状态 | "生命周期" / "状态机" / "状态转换" |
核心工作流
用户需求 → ① 识别图类型
→ ② 读 Schema + 示例(schemas/<type>.schema.json + examples/*.json)
→ ③ 写 JSON(按 Schema 填组件/节点/连线)
→ ④ 渲染: node bin/archify.mjs render <type> <input>.json <output>.html
→ ⑤ 校验: node bin/archify.mjs validate <type> <input>.json
→ 交付自包含 HTML(含主题切换 + 导出菜单)每种类型的 JSON 结构
Architecture(架构图)
{
"schema_version": 1, "diagram_type": "architecture",
"meta": { "title": "Web App", "subtitle": "3-tier SaaS", "output": "web-app.html" },
"components": [
{ "id": "users", "type": "external", "label": "Users", "pos": [40, 300] },
{ "id": "api", "type": "backend", "label": "API", "pos": [460, 300] },
{ "id": "db", "type": "database", "label": "PostgreSQL", "pos": [680, 300] }
],
"boundaries": [
{ "kind": "region", "label": "AWS us-west-2", "wraps": ["api", "db"] }
],
"connections": [
{ "from": "users", "to": "api", "label": "HTTPS", "variant": "emphasis" },
{ "from": "api", "to": "db", "label": "SQL" }
]
}支持自由坐标 (pos) 和网格布局 (layout.mode: "grid") 两种模式。
Workflow(工作流)
{
"schema_version": 1, "diagram_type": "workflow",
"meta": { "title": "Release Workflow" },
"lanes": [
{ "id": "dev", "label": "Developer" },
{ "id": "ci", "label": "CI" },
{ "id": "exceptions", "label": "Exception", "variant": "exception" }
],
"nodes": [
{ "id": "pr", "lane": "dev", "col": 0, "type": "frontend", "label": "Open PR" },
{ "id": "build", "lane": "ci", "col": 1, "type": "backend", "label": "Build", "tag": "blocking" }
],
"edges": [
{ "from": "pr", "to": "build", "label": "webhook", "variant": "emphasis" }
]
}6 列固定网格 + lane/phases/groups 分组系统。
Sequence(时序图)
{
"schema_version": 1, "diagram_type": "sequence",
"meta": { "title": "Cache Miss Request" },
"participants": [
{ "id": "web", "type": "frontend", "label": "Web App" },
{ "id": "api", "type": "backend", "label": "API" }
],
"messages": [
{ "from": "web", "to": "api", "y": 200, "label": "GET /data", "variant": "emphasis" },
{ "from": "api", "to": "web", "y": 290, "label": "200 JSON", "variant": "return" }
]
}最多 8 个参与者,消息 y 坐标控制时序。
Dataflow(数据流)
{
"schema_version": 1, "diagram_type": "dataflow",
"meta": { "title": "Product Analytics" },
"stages": [ { "label": "Sources" }, { "label": "Ingest" }, { "label": "Store" } ],
"nodes": [
{ "id": "web", "type": "frontend", "label": "Web App", "stage": 0, "row": 0 },
{ "id": "kafka", "type": "messagebus", "label": "Kafka", "stage": 1, "row": 0 }
],
"flows": [
{ "from": "web", "to": "kafka", "label": "events", "classification": "PII touch" }
]
}2-5 阶段 × 5 行网格,flow 标签必填,classification 标注数据敏感性。
Lifecycle(生命周期)
{
"schema_version": 1, "diagram_type": "lifecycle",
"meta": { "title": "Agent Run Lifecycle" },
"lanes": [
{ "id": "main", "label": "Lifecycle" },
{ "id": "waiting", "label": "Interruptions" },
{ "id": "terminal", "label": "Terminal exits" }
],
"states": [
{ "id": "queued", "type": "start", "label": "Queued", "lane": "main", "col": 0 },
{ "id": "running", "type": "active", "label": "Executing", "lane": "main", "col": 2 },
{ "id": "done", "type": "success", "label": "Completed", "lane": "terminal", "col": 2 }
],
"transitions": [
{ "from": "queued", "to": "running", "variant": "emphasis" },
{ "from": "running", "to": "done", "label": "success" }
]
}main/terminal 为保留 lane id,其他 lane 共享中间事件带。
Mermaid 输入支持
粘贴 Mermaid 代码,archify 读取结构后按自己的风格重绘:
| Mermaid 类型 | Archify 模式 | 映射规则 |
flowchart / graph | workflow | subgraph→lane; {}菱形→决策节点; 标签→edge label |
sequenceDiagram | sequence | participant→participant; ->>→消息; Note→message note |
stateDiagram | lifecycle | state→state (自动推断 type); [*]→start/terminal |
独有特性
1. 双主题 SVG 导出
导出的 SVG 跟随宿主页面的 prefers-color-scheme,一份文件在明暗背景下都正确显示。适合 GitHub README。
2. Schema 校验 + 布局自动检测
node bin/archify.mjs validate <type> <input>.json --json
node bin/archify.mjs check <output>.html自动检测:组件重叠、标签碰撞、越界、对角线箭头、箭头穿越图例、非有限坐标值。
3. CSS 变量颜色系统
<!-- ✅ 正确:使用 CSS 类,主题切换生效 -->
<rect class="c-backend" stroke-width="1.5"/>
<text class="t-primary">API Server</text>
<!-- ❌ 错误:硬编码颜色,深色模式下不可见 -->
<rect fill="rgba(8,51,68,0.4)" stroke="#22d3ee"/>4. 布局检查器
node bin/archify.mjs inspect architecture my.json
# 输出: 组件矩形、边界框、连接点路径、标签位置布局原则(写 JSON 前必读)
- 一条主路径 — 左→右(架构)或 lane→列(工作流)。读者应能无交叉线追踪主路径
- 少标签 — 只标注跨边界或非显而易见的转换。相邻步骤不加标签
- 短分支 — 权限/存储/bot/CI 从主路径最近节点上下连接,不斜穿其他组件
- 卡片放细节 — 策略/技术栈说明/额外连接放 summary cards,不画箭头
- 模式匹配 — 流程/审批/工具调用→workflow/sequence。≤12 节点组件图→architecture。超过 20 条边→删减
与 architecture-diagram 的关系
architecture-diagram (Dog-Skills) archify (Dog-Skills)
│ │
基于 Cocoon-AI v1.1 基于 Cocoon-AI v1.0 → v2.12
Quick/Deep 双模式 JSON Schema 驱动
多轮对话提取需求 5 种图类型 × 5 套 Schema
适合: 不写代码的用户 适合: 愿写 JSON 的开发者
输出: 深色 HTML+SVG 输出: 双主题 HTML+SVG+PNG/JPEG/WebP两者互补而非替代:
- 用户说"帮我画个架构图" → architecture-diagram(对话交互)
- 用户说"给我一个精确的 CI/CD 工作流 JSON 模板" → archify
- 需要 workflow/sequence/dataflow/lifecycle → 只有 archify 支持
安装方式
Claude Code
cp -r archify/ ~/.claude/skills/archify/上游完整安装(含渲染器和 Schema)
npx skills add tt-a1i/archify安装后运行 node bin/archify.mjs doctor 验证环境,node bin/archify.mjs demo <dir> 生成示例。
上游致谢
基于 tt-a1i/archify (MIT v2.12),作者 tt-a1i。继承自 Cocoon-AI/architecture-diagram-generator (MIT)。
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